Khan Academy

Consequences of errors and significance (K-A)

Examples identifying Type I and Type II errors (K-A)

Examples thinking about power in significance tests (K-A)

Introduction to power in significance tests (K-A)

Introduction to Type I and Type II errors (K-A)

Hypothesis testing and p-values (K-A)

Type 1 errors (K-A)

Large sample proportion hypothesis testing (K-A)

One-tailed and two-tailed tests (K-A)

Small sample hypothesis test (K-A)

Z-statistics vs. T-statistics (K-A)

Comparing P-value from t statistic to significance level (K-A)

Conditions for a t test about a mean (K-A)

Example calculating t statistic for a test about a mean (K-A)

Free response example: Significance test for a mean (K-A)

Reference: Conditions for inference on a mean (K-A)

Using a table to estimate P-value from t statistic (K-A)

Using TI calculator for P-value from t statistic (K-A)

Calculating a P-value given a z statistic (K-A)

When to use z or t statistics in significance tests (K-A)

Calculating a z statistic in a test about a proportion (K-A)

Writing hypotheses for a significance test about a mean (K-A)

Conditions for a z test about a proportion (K-A)

Constructing hypotheses for a significance test about a proportion (K-A)

Making conclusions in a test about a proportion (K-A)